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Impact of Pial Collaterals on Infarct Growth Rate in Experimental Acute Ischemic Stroke
G A Christoforidis1, P Vakil2, S A Ansari3,4
1From the Department of Radiology (G.A.C., S.A.A., T.J.C.), University of Chicago, Chicago, Illinois gchristoforidis@radiology.bsd.uchicago.edu.
AJNR. American Journal of Neuroradiology
|November 19, 2016
Summary
Assessing pial collateral recruitment in stroke models can predict infarct growth. Angiography accurately estimates infarct volume, aiding in understanding treatment time windows for cerebral infarction.
Area of Science:
- Neurology
- Radiology
- Biomedical Engineering
Background:
- Cerebral infarction progression varies with blood flow, impacting treatment timing.
- Pial collateral recruitment influences the rate of infarct evolution.
Purpose of the Study:
- To mathematically model infarct growth in a canine MCA occlusion model.
- To determine if angiographic assessment of pial collaterals predicts infarct volume growth.
Main Methods:
- Quantified pial collateral recruitment using DSA and arterial arrival time.
- Measured infarct volumes via MRI at multiple time points post-MCA occlusion.
- Correlated collateral assessments with infarct growth rate and final volume using linear analysis.
Main Results:
- Pial collateral assessment strongly correlated with 24-hour infarct volumes (r=0.96 for score, r^2=0.86 for arrival time).
- Infarct growth rate showed significant linear relationships with collateral score (r=0.89) and arrival time (r=0.69).
- Predictive models for infarct growth based on collateral assessments were developed and compared.
Conclusions:
- Pial collateral assessment in MCA occlusion models correlates with infarct growth rate.
- Angiographic collateral assessment has potential for predicting asymptotic infarct volume growth.
- Predictive models showed no statistical advantage of collateral score over arrival time, despite lower errors.

